GOD MODE INTEL MCP V2 - Ultimate B2B Intelligence Suite

The most comprehensive B2B intelligence MCP server with 75+ tools, LinkedIn Intelligence Suite, Video Ad Intelligence (Mindvalley-style), Review Intelligence Suite, AI Search Intelligence Suite, Agency Sniper™, Franchise Discovery Suite (NEW!), SMB-Optimized Enrichment, Campaign Orchestration, and pay-per-event pricing. Built for Claude Desktop, Make.com, Zapier, and n8n integrations.

🆕 NEW IN V2.6: AI Search Intelligence Suite - Track your brand's visibility in Google AI Mode, Perplexity, and ChatGPT! Monitor which sources get cited for your target keywords, benchmark against competitors, and get AI-powered optimization recommendations. Inspired by Apify's Google AI Mode scraping article.

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Table of Contents

1. What's New in V2.6
2. AI Search Intelligence Suite
3. Agency Sniper™
4. Franchise Discovery Suite ← NEW!
5. Video Ad Intelligence
6. Review Intelligence Suite
7. Pricing
8. All 75+ Tools by Category
9. MCP Protocol Support
10. Integration Guides
11. Usage Examples
12. Authentication & API Keys
13. Enterprise Features
14. SMB Enrichment Engine
15. Use Cases
16. FAQ
17. Troubleshooting
18. Support

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🆕 What's New in V2.6

🤖 AI Search Intelligence Suite - Visibility in LLM Search (6 New Tools)

Track your brand's presence in the new wave of AI-powered search:

• scrape_google_ai_mode - Extract AI-generated answers, citations, and sources from Google AI Mode
• scrape_perplexity - Get Perplexity AI answers with all cited sources
• scrape_chatgpt_search - ChatGPT web browsing results and citations
• track_ai_citations - Monitor brand visibility across AI platforms over time
• compare_ai_visibility - Side-by-side AI citation comparison vs competitors
• analyze_ai_optimization - AI-powered recommendations for improving LLM visibility

Inspired by: How to Scrape Google AI Mode

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🔍 AI Search Intelligence Suite - Visibility in LLM Search

With Google AI Mode, Perplexity, and ChatGPT with browsing becoming mainstream, traditional SEO tracking is missing a critical visibility layer. This suite helps you understand and improve your brand's presence in AI-generated answers.

Why AI Search Visibility Matters

• AI answers are replacing clicks - Users get answers directly from AI, often without visiting websites
• Citations = new rankings - Being cited as a source in AI answers is the new "ranking #1"
• Competitors are already there - Know who's getting cited for your target keywords
• Content optimization differs - What makes content rank in Google differs from what makes LLMs cite you

Tools Overview

Tool	Description	Pricing
scrape_google_ai_mode	Extract Google AI Mode answers with all cited sources	$0.02/query
scrape_perplexity	Perplexity AI answers with source citations	$0.02/query
scrape_chatgpt_search	ChatGPT browsing results and sources	$0.02/query
track_ai_citations	Multi-keyword brand visibility tracking	$0.01/keyword
compare_ai_visibility	Competitive AI visibility benchmarking	$0.03/comparison
analyze_ai_optimization	AI optimization recommendations	$0.05/report

Example: Track AI Citations

{
  "tool": "track_ai_citations",
  "input": {
    "domain": "acmeplumbing.com",
    "keywords": ["emergency plumber phoenix", "water heater repair", "24 hour plumber"],
    "platforms": ["google_ai_mode", "perplexity", "chatgpt"]
  }
}

Response:

{
  "summary": {
    "totalKeywordsTracked": 3,
    "citationRate": 44.4,
    "avgPosition": 2.5
  },
  "byKeyword": [
    {
      "keyword": "emergency plumber phoenix",
      "citations": [
        { "platform": "google_ai_mode", "cited": true, "position": 2 },
        { "platform": "perplexity", "cited": true, "position": 1 },
        { "platform": "chatgpt", "cited": false }
      ]
    }
  ],
  "trends": {
    "vsLastWeek": "+12% citation rate",
    "topImprovement": "emergency plumber phoenix - moved from position 5 to 2"
  }
}

Example: Analyze AI Optimization

{
  "tool": "analyze_ai_optimization",
  "input": {
    "domain": "yourbusiness.com",
    "targetKeywords": ["professional services", "trusted provider"],
    "competitorsCited": ["competitor1.com", "competitor2.com"]
  }
}

Response includes:

• Content Structure Score - How well LLMs can parse your content
• E-E-A-T Signals - Author credentials, expertise indicators
• Schema Markup - FAQ, LocalBusiness, Service schemas
• Citation Authority - Backlinks, directory presence, PR mentions
• Prioritized Recommendations - High-impact actions to improve AI visibility

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What's New in V2.5

📊 Review Intelligence Suite - Advanced Sentiment Analysis (4 New Tools)

Transform customer feedback into actionable intelligence:

• analyze_review_trends - Track sentiment and rating trends over time with pattern detection
• detect_reputation_risks - Early warning system for negative patterns, review velocity spikes, and coordinated attacks
• generate_review_responses - AI-generated brand-aligned responses by sentiment and topic
• compare_competitor_sentiment - Side-by-side sentiment benchmarking against competitors

Inspired by: Sentiment Analysis for Customer Feedback

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What's New in V2.4

🎬 Video Ad Intelligence - Mindvalley-style Prediction (9 Tools)

Predict high-performing video ads before spending a dime:

• scrape_youtube - Scrape YouTube channels, videos, search results with engagement metrics
• scrape_tiktok - TikTok profiles and videos with virality signals
• scrape_instagram - Instagram reels, posts, and story highlights
• scrape_meta_ads - Meta Ad Library for competitor Facebook/Instagram ads
• scrape_google_ads - Google Ads Transparency Center for display/video ads
• analyze_video_hooks - AI analysis of video hooks (the critical first 3-5 seconds)
• compare_content_performance - Cross-platform performance comparison
• predict_ad_performance - AI prediction scores for creative elements
• generate_creative_brief - Generate briefs based on winning patterns

Inspired by: How Mindvalley Predicts High-Performing Video Ads with Apify

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What's New in V2.3

Enhanced Tech Stack Detection (BuiltWith Alternative)

Now powered by our dedicated Tech Stack Detector actor with 125+ technology signatures:

• 9 categories: CMS, Framework, Analytics, Marketing, Hosting, CDN, Payments, Chat, Email
• Confidence scoring: HIGH/MEDIUM/LOW for each detection
• Deep scan mode: Multi-page analysis for comprehensive detection
• Header-based detection: Cloudflare, Nginx, Apache, and more from response headers
• Competitive comparison: Side-by-side tech stack comparison across competitors

LinkedIn Intelligence Suite (8 Tools)

• export_sales_nav_leads - Export leads from Sales Navigator searches/saved lists
• export_sales_nav_accounts - Export company accounts from Sales Navigator
• scrape_post_engagers - Get everyone who liked, commented, or reposted a LinkedIn post
• scrape_event_attendees - Export speakers, registered, and interested attendees from LinkedIn events
• scrape_company_followers - Export followers from any company page
• scrape_linkedin_profile - Full profile scraping with experience, skills, education
• scrape_linkedin_posts - Post content with engagement metrics
• analyze_linkedin_voice - AI voice analysis for hyper-personalized outreach

SMB-Optimized Enrichment Engine

• 6-Layer Fallback System for small businesses not in Apollo/ZoomInfo:
  1. Apollo.io (enterprise contacts)
  2. Hunter.io (domain email search)
  3. AI Website Extraction (Claude + Firecrawl)
  4. Better Business Bureau (BBB owner lookup)
  5. Social Media Cross-Reference
  6. State Secretary of State Records
• 85%+ contact discovery rate for SMBs vs 20% with Apollo alone

Campaign Orchestration (Enterprise)

• Multi-region parallel execution - Process 5+ regions simultaneously
• Real-time cost tracking - Budget limits with automatic stop
• Webhook notifications - Lead-by-lead progress to Make.com/Zapier
• Self-healing retries - Exponential backoff with 3 retry attempts
• AI Lead Scoring - Automatic hot/warm/cold classification

🆕 Agency Sniper™ - Reverse Prospecting (6-Layer Discovery)

• discover_agency_clients - Find who marketing agencies work with
• 6-Layer discovery engine:
  1. Website crawling (portfolio, clients, case studies pages)
  2. Google search (press releases, mentions, awards)
  3. Footer attribution scanning ("Designed by Agency" links)
  4. Social media scanning (YouTube, Vimeo, LinkedIn, Facebook, Instagram, Twitter/X)
  5. Google Reviews mining (business owner testimonials)
  6. AI extraction with Claude (intelligent name recognition)
• Confidence scoring: 0-100 score for each discovered client
• Perfect for competitive intel: See who your competitors' agencies serve
• 91 clients found in single test run (vs 47 with basic 3-layer)

Pay-Per-Event Pricing

Only pay for results, not compute time. No wasted spend on failed runs.

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🎯 Agency Sniper™ - Reverse Prospecting

Discover who marketing agencies work with. Agency Sniper™ is a powerful reverse prospecting tool that finds businesses that already invest in marketing.

How It Works (6-Layer Discovery Engine)

1. Website Crawling - Scans agency portfolio/clients/case-study pages
2. Google Search - Finds press releases, awards, partnership announcements
3. Footer Attribution - Scans for "Designed by Agency" credits (highest confidence)
4. Social Media Scanning 🆕 - YouTube, Vimeo, LinkedIn, Facebook, Instagram, Twitter/X
5. Google Reviews Mining 🆕 - Finds business owners who reviewed the agency
6. AI Extraction - Claude identifies company names with confidence scoring

⏱️ Runtime: 15-20 minutes for comprehensive discovery (100 clients max). The thorough 6-layer approach finds 2-3x more clients than basic scraping.

Source Confidence Levels

Source	Confidence	Description
case-study	95-100%	Dedicated case study page
footer-attribution	90-95%	"Designed by Agency" in footer
social-media	85-95%	Video testimonials, tagged posts
website	80-95%	Listed on portfolio page
google-reviews	75-90%	Business owner testimonials
google	60-85%	Press mentions, awards

Use Cases

• Competitive Intelligence: See who your competitors' agencies serve
• Lead Discovery: Find businesses that already buy marketing services
• Partnership Opportunities: Identify potential co-marketing partners
• Market Research: Understand which companies are active in specific industries

Example Usage

{
  "tool": "discover_agency_clients",
  "toolInput": {
    "agencyName": "WebFX",
    "agencyDomain": "webfx.com",
    "maxClients": 25,
    "searchGoogle": true,
    "crawlWebsite": true
  }
}

Output

[
  {
    "companyName": "Acme Corp",
    "website": "https://acme.com",
    "source": "footer-attribution",
    "confidence": 95,
    "context": "Website footer: Designed by Agency Name",
    "industry": "Manufacturing"
  },
  {
    "companyName": "TechStart Inc",
    "website": "https://techstart.io",
    "source": "social-media",
    "confidence": 92,
    "context": "Video testimonial on agency YouTube channel",
    "industry": "Technology"
  },
  {
    "companyName": "Local Plumber Pro",
    "website": "https://localplumberpro.com",
    "source": "google-reviews",
    "confidence": 82,
    "context": "Business owner review on Google Maps",
    "industry": "Home Services"
  }
]

Workflow with God Mode

1. Agency Sniper discovers client companies
2. Enrich those clients with decision-maker contacts
3. Score leads based on ICP fit
4. Generate personalized outreach

discover_agency_clients → enrich_company_contacts → score_and_prioritize → generate_outreach

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🏪 Franchise Discovery Suite - Franchisee Lead Generation

Generate qualified leads from franchise networks. The Franchise Discovery Suite helps you find and enrich franchise locations with franchisee owner data - perfect for selling to franchise owners who already invest in their business.

The Problem with Franchise Prospecting

Traditional B2B databases struggle with franchises:

• Franchise locations are hard to find - They're scattered across review sites, not in databases
• Owner data is missing - Corporate contacts, not local franchisees
• Multi-unit owners are invisible - Can't identify high-value franchisees who own multiple locations
• Decision-maker titles vary - "Owner", "Franchisee", "Operating Partner", "General Manager"

How It Works

1. Find all franchise locations for a brand (e.g., "OrangeTheory Fitness")
2. Detect franchise vs independent businesses automatically
3. Identify multi-unit owners (franchisees who own 3+ locations)
4. Enrich with decision-maker contacts using SMB-optimized 6-layer fallback
5. Score leads by investment level, location count, and engagement signals

Franchise Discovery Tools (2)

Tool	Description
find_franchise_locations	🆕 Find all franchise locations for a brand with owner detection
enrich_franchisees	🆕 Enrich franchise locations with owner contacts and multi-unit detection

Example: Find OrangeTheory Fitness Franchisees

{
  "tool": "find_franchise_locations",
  "toolInput": {
    "franchiseBrand": "OrangeTheory Fitness",
    "regions": ["St. Louis, MO", "Kansas City, MO", "Chicago, IL"],
    "maxLocations": 50,
    "includeOwnerData": true
  }
}

Response:

{
  "summary": {
    "totalLocations": 47,
    "uniqueOwners": 31,
    "multiUnitOwners": 8,
    "avgLocationsPerOwner": 1.5
  },
  "locations": [
    {
      "name": "Orangetheory Fitness - Clayton",
      "address": "1234 Main St, Clayton, MO 63105",
      "phone": "(314) 555-1234",
      "rating": 4.8,
      "reviewCount": 312,
      "owner": {
        "name": "Michael Johnson",
        "title": "Owner/Franchisee",
        "email": "mjohnson@email.com",
        "linkedIn": "linkedin.com/in/mjohnson",
        "locationsOwned": 3,
        "otherLocations": ["OTF Chesterfield", "OTF Kirkwood"]
      }
    }
  ],
  "multiUnitOwners": [
    {
      "name": "Michael Johnson",
      "locationsOwned": 3,
      "locations": ["Clayton", "Chesterfield", "Kirkwood"],
      "estimatedInvestment": "$1.5M+",
      "leadScore": 95
    },
    {
      "name": "Sarah Williams",
      "locationsOwned": 5,
      "locations": ["Downtown KC", "Overland Park", "Leawood", "Lee's Summit", "Liberty"],
      "estimatedInvestment": "$2.5M+",
      "leadScore": 98
    }
  ]
}

Example: Enrich Franchisees with Full Contacts

{
  "tool": "enrich_franchisees",
  "toolInput": {
    "locations": [
      {
        "name": "Orangetheory Fitness - Clayton",
        "address": "1234 Main St, Clayton, MO 63105",
        "website": "https://orangetheory.com/clayton"
      }
    ],
    "prioritizeTitles": ["Owner", "Franchisee", "Operating Partner", "General Manager"],
    "maxContactsPerLocation": 2,
    "detectMultiUnit": true
  },
  "apolloApiKey": "your_key",
  "firecrawlApiKey": "your_key",
  "anthropicApiKey": "your_key"
}

Multi-Unit Owner Detection

Multi-unit franchisees are the highest-value leads - they've already proven they invest in growth. God Mode detects them through:

Signal	How We Detect
Same owner name	Cross-reference owner names across locations
Corporate entity	Company name matches (e.g., "Johnson Fitness Group LLC")
LinkedIn profile	Owner's LinkedIn shows multiple locations in bio
Phone/email overlap	Same contact info across locations
Business registration	State SOS shows same registered agent

Supported Franchise Brands

God Mode automatically recognizes 500+ major franchise brands including:

Category	Example Brands
Fitness	OrangeTheory, F45, Planet Fitness, Anytime Fitness, CrossFit
Food & Beverage	McDonald's, Subway, Chick-fil-A, Dunkin', Starbucks
Home Services	ServiceMaster, Molly Maid, Two Maids, The Cleaning Authority
Automotive	Jiffy Lube, Midas, Meineke, Maaco, Christian Brothers
Healthcare	Massage Envy, Hand & Stone, European Wax Center
Real Estate	Keller Williams, RE/MAX, Century 21, Coldwell Banker
Business Services	The UPS Store, PostNet, AlphaGraphics, FASTSIGNS
Pet Services	Camp Bow Wow, Dogtopia, Pet Supplies Plus
Education	Kumon, Mathnasium, Sylvan Learning, Code Ninjas
Senior Care	Home Instead, Visiting Angels, Comfort Keepers

For unrecognized brands, Claude AI analyzes naming patterns and business signals to detect franchise status.

Franchise Discovery Pricing

Event	Price	Description
franchise_location_found	$0.02	Each franchise location discovered
franchisee_enriched	$0.08	Full owner enrichment with contacts
multi_unit_detected	$0.03	Multi-unit owner identification
franchise_campaign_run	$0.50	Multi-region franchise discovery campaign

Use Cases

• Franchise Consultants: Find franchisees ready for growth or exit
• B2B Sales Teams: Sell to proven business investors (franchisees invest $100K-$3M)
• Real Estate Brokers: Find multi-unit owners for commercial space
• Business Brokers: Identify franchise resale opportunities
• Equipment/Supply Vendors: Sell to franchise networks at scale
• Marketing Agencies: Pitch to franchisees who need local marketing

Workflow with God Mode

find_franchise_locations → enrich_franchisees → score_and_prioritize → generate_outreach

1. Discover all OrangeTheory locations in target regions
2. Enrich with owner data and multi-unit detection
3. Score by investment level, rating, and growth signals
4. Generate personalized outreach mentioning their locations

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🎬 Video Ad Intelligence - Mindvalley-style Prediction

Predict high-performing video ads before spending a dime. Inspired by Mindvalley's approach, this suite lets Claude analyze competitor video content across platforms, identify winning patterns, and generate data-driven creative briefs.

How It Works

1. Scrape competitor videos from YouTube, TikTok, Instagram, Meta Ads, Google Ads
2. Analyze video hooks (first 3-5 seconds - the make-or-break moment)
3. Compare performance metrics across platforms and competitors
4. Predict which creative patterns will perform best for your niche
5. Generate creative briefs based on winning formulas

Video Ad Intelligence Tools (9)

Tool	Description
scrape_youtube	Scrape YouTube channels, videos, search results with engagement metrics
scrape_tiktok	TikTok profiles and videos with virality signals
scrape_instagram	Instagram reels, posts, and story highlights
scrape_meta_ads	Meta Ad Library for competitor Facebook/Instagram ads
scrape_google_ads	Google Ads Transparency Center for display/video ads
analyze_video_hooks	AI analysis of video hooks, patterns, and psychological triggers
compare_content_performance	Cross-platform performance comparison
predict_ad_performance	AI prediction scores for creative elements
generate_creative_brief	Generate briefs based on winning patterns

The Hook Formula (First 3-5 Seconds)

Mindvalley discovered that the first 3-5 seconds determine 80% of video ad success. Our hook analysis identifies:

Element	What We Detect
Opening Pattern	Question, bold claim, curiosity gap, pattern interrupt
Visual Hook	Face close-up, motion, text overlay, unusual imagery
Audio Hook	Music, sound effect, voice tone, silence
Psychological Trigger	Fear, curiosity, FOMO, aspiration, controversy

Example Workflow with Claude

You: "Analyze Mindvalley's top-performing YouTube ads and tell me what hooks work best for personal development"

Claude: I'll analyze their content using Video Ad Intelligence...

1. scrape_youtube (Mindvalley channel, top 20 videos by views)
2. scrape_meta_ads (Mindvalley Facebook ads, last 90 days)
3. analyze_video_hooks (identify patterns in high-performers)
4. generate_creative_brief (based on winning formulas)

Results:
- Top hook pattern: "What if..." question format (3.2x avg engagement)
- Best opening: Face close-up with bold text overlay
- Winning audio: Upbeat music with clear voice-over
- Recommended brief: [Generated creative brief with specific recommendations]

Example Usage

Scrape YouTube Channel

{
  "tool": "scrape_youtube",
  "toolInput": {
    "channelUrl": "https://youtube.com/@Mindvalley",
    "maxVideos": 30,
    "includeComments": true,
    "sortBy": "views"
  }
}

Analyze Video Hooks

{
  "tool": "analyze_video_hooks",
  "toolInput": {
    "videoUrls": [
      "https://youtube.com/watch?v=abc123",
      "https://youtube.com/watch?v=def456"
    ],
    "analysisDepth": "deep",
    "includeTranscript": true
  }
}

Generate Creative Brief

{
  "tool": "generate_creative_brief",
  "toolInput": {
    "niche": "online education",
    "targetAudience": "professionals 25-45 seeking personal growth",
    "competitorUrls": ["mindvalley.com", "masterclass.com"],
    "briefType": "video_ad",
    "duration": "30s"
  }
}

Video Ad Pricing

Event	Price	Description
youtube_video_scraped	$0.01	Each YouTube video with metrics
tiktok_video_scraped	$0.01	Each TikTok video with engagement
instagram_post_scraped	$0.01	Each Instagram post/reel
meta_ad_scraped	$0.01	Each Meta Ad Library result
google_ad_scraped	$0.01	Each Google Ad Transparency result
video_hook_analyzed	$0.03	AI hook analysis per video
creative_brief_generated	$0.05	AI-generated creative brief

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📊 Review Intelligence Suite - Advanced Sentiment Analysis

Transform customer feedback into actionable intelligence. Inspired by Apify's sentiment analysis guide, this suite goes beyond basic star ratings to uncover hidden patterns, detect reputation risks early, and generate AI-powered responses.

How It Works

1. Aggregate reviews from Google, Yelp, Trustpilot, G2, Capterra, and more
2. Analyze sentiment trends over time with granular breakdowns
3. Detect reputation risks before they become crises
4. Generate brand-aligned responses at scale
5. Benchmark against competitors to identify advantages

Review Intelligence Tools (8 Total)

Tool	Description
scrape_trustpilot	Scrape Trustpilot reviews for any business
scrape_yelp	Scrape Yelp business reviews and ratings
aggregate_reviews	Aggregate reviews from multiple platforms
analyze_sentiment	AI sentiment analysis with topic extraction
analyze_review_trends	🆕 Track sentiment/rating trends over time
detect_reputation_risks	🆕 Early warning for negative patterns
generate_review_responses	🆕 AI-generated brand-aligned responses
compare_competitor_sentiment	🆕 Sentiment benchmarking vs competitors

Key Insights Extracted

Insight Type	What We Detect
Sentiment Trend	Rising/falling sentiment over 30/90/180 days
Topic Clusters	Service quality, pricing, wait times, staff, etc.
Risk Signals	Review velocity spikes, coordinated patterns, trending complaints
Competitive Gaps	Where you excel vs. competitors, opportunity areas

Example Workflow with Claude

You: "Analyze our Google reviews from the last 90 days and identify any reputation risks"

Claude: I'll analyze your reviews using Review Intelligence...

1. aggregate_reviews (Google, last 90 days)
2. analyze_review_trends (identify patterns)
3. detect_reputation_risks (early warning scan)
4. generate_review_responses (for negative reviews)

Results:
- Sentiment trend: -8% decline over 90 days
- Risk detected: "wait time" complaints up 340% in last 2 weeks
- Topic cluster: 23 reviews mention "long wait" (avg 1.8 stars)
- Generated 23 personalized response templates
- Recommendation: Address staffing/scheduling issue immediately

Example Usage

Analyze Review Trends

{
  "tool": "analyze_review_trends",
  "toolInput": {
    "businessName": "Joe's Plumbing",
    "location": "Phoenix, AZ",
    "platforms": ["google", "yelp"],
    "timeRange": "90d",
    "granularity": "weekly"
  }
}

Detect Reputation Risks

{
  "tool": "detect_reputation_risks",
  "toolInput": {
    "businessName": "Joe's Plumbing",
    "location": "Phoenix, AZ",
    "platforms": ["google", "yelp", "trustpilot"],
    "sensitivityLevel": "high",
    "compareToBaseline": true
  }
}

Generate Review Responses

{
  "tool": "generate_review_responses",
  "toolInput": {
    "businessName": "Joe's Plumbing",
    "reviews": [
      {
        "rating": 2,
        "text": "Technician was late and didn't clean up after the job",
        "platform": "google"
      }
    ],
    "brandVoice": "professional",
    "includeOwnerSignature": true,
    "addressSpecificIssues": true
  }
}

Compare Competitor Sentiment

{
  "tool": "compare_competitor_sentiment",
  "toolInput": {
    "businessName": "Joe's Plumbing",
    "competitors": ["ABC Plumbing", "QuickFix Plumbers", "Pro Pipe Services"],
    "location": "Phoenix, AZ",
    "platforms": ["google", "yelp"],
    "compareAspects": ["service", "price", "speed", "staff"],
    "timeRange": "90d"
  }
}

Review Intelligence Pricing

Event	Price	Description
review_scraped	$0.005	Each review scraped (any platform)
sentiment_analyzed	$0.01	Per review sentiment analysis
trend_analysis_generated	$0.03	Trend analysis report
risk_scan_completed	$0.02	Reputation risk scan
review_response_generated	$0.02	AI-generated response
competitor_comparison	$0.03	Per-competitor sentiment comparison

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💰 Pricing

Event	Price	Description
prospect_found	$0.01	Each business discovered via Google Maps
lead_enriched	$0.05	Full lead enrichment with contacts, tech stack
company_researched	$0.08	Complete company research (funding, reviews, tech)
linkedin_profile_scraped	$0.03	LinkedIn profile with experience, skills
linkedin_post_scraped	$0.01	Each post with engagement metrics
sales_nav_lead_scraped	$0.05	Sales Navigator lead export
sales_nav_account_scraped	$0.03	Sales Navigator account export
post_engager_scraped	$0.02	Each post engager (likers, commenters)
event_attendee_scraped	$0.02	Each event attendee
company_follower_scraped	$0.02	Each company follower
review_scraped	$0.005	Each review (Yelp, G2, Glassdoor, etc.)
ad_scraped	$0.01	Each competitor ad from Meta Ad Library
outreach_generated	$0.02	AI-generated personalized outreach
lead_scored	$0.01	AI lead scoring and prioritization
tool_executed	$0.01	Generic tool execution (fallback)
agency_client_discovered	$0.025	Each agency client discovered by Agency Sniper
tech_stack_scanned	$0.01	Single domain tech stack scan (125+ signatures)
tech_stack_compared	$0.01	Per-domain tech stack comparison
franchise_location_found	$0.02	🆕 Each franchise location discovered
franchisee_enriched	$0.08	🆕 Full owner enrichment with contacts
multi_unit_detected	$0.03	🆕 Multi-unit owner identification

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🔧 All 75+ Tools by Category

Discovery Tools (8)

Tool	Description
find_prospects	Find businesses via Google Maps by query + location
find_lookalikes	Find companies similar to a target account
scrape_local_leads	Bulk scrape local businesses across queries/locations
discover_companies	Firecrawl-powered deep web discovery
enrich_from_url	AI extraction from any URL (company, contacts, tech)
discover_agency_clients	🆕 Agency Sniper™ - Find who marketing agencies work with
find_franchise_locations	🆕 Franchise Discovery - Find all locations for any franchise brand
enrich_franchisees	🆕 Enrich franchise locations with owner contacts + multi-unit detection

Lead Enrichment (3)

Tool	Description
enrich_lead	Single lead enrichment (email, company, social)
enrich_leads_batch	Batch enrich up to 100 leads at once
enrich_company_contacts	Find decision-makers at any company with 6-layer SMB fallback

LinkedIn Intelligence Suite (8)

Tool	Description
scrape_linkedin_profile	Full profile: experience, education, skills, about
scrape_linkedin_posts	Posts with likes, comments, shares, content
analyze_linkedin_voice	AI voice/tone analysis for personalized outreach
export_sales_nav_leads	Export leads from Sales Navigator searches
export_sales_nav_accounts	Export accounts from Sales Navigator
scrape_post_engagers	Get everyone who engaged with a post
scrape_event_attendees	Export attendees from LinkedIn events
scrape_company_followers	Export followers from company pages

Company Research (6)

Tool	Description
research_company	Complete company research (tech, funding, reviews, contacts)
scan_tech_stack	⭐ Enhanced! 125+ technology detection with confidence scoring (CMS, frameworks, analytics, marketing, hosting, CDN, payments, chat, email)
get_crunchbase_data	Funding rounds, investors, key people
get_glassdoor_reviews	Employee reviews, ratings, salaries
scrape_g2	G2 software reviews
scrape_capterra	Capterra software reviews

Review Intelligence (8) 🆕

Tool	Description
scrape_trustpilot	Trustpilot reviews for any business
scrape_yelp	Yelp business reviews
aggregate_reviews	Aggregate reviews from multiple platforms
analyze_sentiment	AI sentiment analysis of reviews
analyze_review_trends	🆕 Track sentiment/rating trends over time
detect_reputation_risks	🆕 Early warning system for negative patterns
generate_review_responses	🆕 AI-generated brand-aligned responses
compare_competitor_sentiment	🆕 Sentiment benchmarking vs competitors

Competitive Intelligence (5)

Tool	Description
monitor_competitors	Track competitor website, social, hiring changes
scrape_facebook_ads	Meta Ad Library competitor ad scraping
track_competitor_keywords	SEO keyword tracking
compare_tech_stacks	⭐ Enhanced! Side-by-side tech stack comparison with deep scan across competitors
competitive_gap_analysis	AI-powered competitive gap analysis

Local Business Intelligence (4)

Tool	Description
scrape_gbp	Google Business Profile data + reviews
track_local_serp	Grid-based local ranking tracking
audit_citations	NAP citation audit across 50+ directories
analyze_local_competitors	Local competitor analysis by service area

Social Intelligence (3)

Tool	Description
scrape_reddit	Reddit brand mentions and discussions
scrape_quora	Quora questions/answers by topic
monitor_brand_mentions	Cross-platform brand monitoring

AI-Powered Actions (5)

Tool	Description
score_and_prioritize	AI lead scoring based on ICP fit
generate_outreach	Hyper-personalized outreach messages
analyze_buying_signals	Detect buying signals (hiring, funding, tech changes)
predict_deal_probability	AI deal probability prediction
recommend_approach	AI sales approach recommendation

Video Ad Intelligence (9) 🆕

Tool	Description
scrape_youtube	Scrape YouTube channels, videos, search results with engagement metrics
scrape_tiktok	TikTok profiles and videos with virality signals
scrape_instagram	Instagram reels, posts, and story highlights
scrape_meta_ads	Meta Ad Library for competitor Facebook/Instagram ads
scrape_google_ads	Google Ads Transparency Center for display/video ads
analyze_video_hooks	AI analysis of video hooks, patterns, and psychological triggers
compare_content_performance	Cross-platform performance comparison
predict_ad_performance	AI prediction scores for creative elements
generate_creative_brief	Generate briefs based on winning patterns

Full Pipelines (3)

Tool	Description
full_company_research	Complete company research in one call
full_prospect_pipeline	Discover → Enrich → Score → Outreach
full_competitive_audit	Complete competitive audit

Campaign Orchestration (3)

Tool	Description
run_campaign	Multi-region prospecting with cost tracking
get_campaign_status	Check campaign progress and costs
cancel_campaign	Cancel running campaign

Meta Tools (2)

Tool	Description
list_tools	List all tools or filter by category
get_tool_help	Get detailed help for any tool

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🔌 MCP Protocol Support

God Mode Intel MCP V2 supports the Model Context Protocol (MCP) for seamless AI assistant integration.

Supported Transports

Transport	Use Case	Endpoint
stdio	Claude Desktop	--stdio flag
HTTP/SSE	Make.com, web clients	/sse endpoint
Direct API	Any HTTP client	/execute endpoint

Claude Desktop Configuration

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "god-mode-intel": {
      "command": "npx",
      "args": ["-y", "@anthropic-ai/model-context-protocol-runner", "apify-actor", "alizarin_refrigerator-owner/god-mode-intel-mcp-v2"],
      "env": {
        "APIFY_TOKEN": "your_apify_token",
        "APOLLO_API_KEY": "your_apollo_key",
        "ANTHROPIC_API_KEY": "your_anthropic_key",
        "FIRECRAWL_API_KEY": "your_firecrawl_key"
      }
    }
  }
}

---

📚 Integration Guides

Make.com Integration

1. Add HTTP Module → "Make a request"
2. URL: https://api.apify.com/v2/acts/alizarin_refrigerator-owner~god-mode-intel-mcp-v2/runs?token={{YOUR_APIFY_TOKEN}}
3. Method: POST
4. Body:

{
  "tool": "enrich_company_contacts",
  "toolInput": {
    "domain": "{{domain}}",
    "titles": ["Owner", "CEO", "Founder"],
    "maxContacts": 5,
    "location": "{{city}}, {{state}}"
  },
  "apolloApiKey": "{{APOLLO_API_KEY}}",
  "firecrawlApiKey": "{{FIRECRAWL_API_KEY}}",
  "anthropicApiKey": "{{ANTHROPIC_API_KEY}}"
}

Zapier Integration

1. Webhooks by Zapier → "Custom Request"
2. URL: https://api.apify.com/v2/acts/alizarin_refrigerator-owner~god-mode-intel-mcp-v2/run-sync-get-dataset-items?token=YOUR_TOKEN
3. Method: POST
4. Data Pass-Through: Enable
5. Data: Same JSON structure as above

n8n Integration

1. HTTP Request Node
2. Method: POST
3. URL: Apify actor run URL
4. JSON Body: Tool configuration
5. Wait for completion: Use /run-sync-get-dataset-items endpoint

---

📖 Usage Examples

Find Local Prospects

{
  "tool": "find_prospects",
  "toolInput": {
    "query": "HVAC contractors",
    "location": "Phoenix, AZ",
    "maxResults": 50,
    "includeEmails": true
  }
}

Enrich Company Contacts (with SMB Fallback)

{
  "tool": "enrich_company_contacts",
  "toolInput": {
    "domain": "https://smallbusiness.com",
    "titles": ["Owner", "CEO", "Founder", "President"],
    "maxContacts": 5,
    "location": "Austin, TX"
  },
  "apolloApiKey": "your_key",
  "anthropicApiKey": "your_key",
  "firecrawlApiKey": "your_key"
}

Export Sales Navigator Leads

{
  "tool": "export_sales_nav_leads",
  "toolInput": {
    "searchUrl": "https://www.linkedin.com/sales/search/people?query=...",
    "maxLeads": 100,
    "includeEmails": true
  },
  "linkedinCookiesJson": "[your session cookies]"
}

Scrape Post Engagers (Intent-Based Prospecting)

{
  "tool": "scrape_post_engagers",
  "toolInput": {
    "postUrl": "https://www.linkedin.com/posts/competitor-ceo-activity-123...",
    "engagementTypes": ["likes", "comments"],
    "maxEngagers": 200,
    "filterByTitle": ["VP", "Director", "Manager"]
  },
  "linkedinCookiesJson": "[your session cookies]"
}

Run Multi-Region Campaign

{
  "tool": "run_campaign",
  "toolInput": {
    "query": "cleaning services",
    "regions": ["St. Louis, MO", "St. Charles, MO", "Clayton, MO"],
    "maxLeadsPerRegion": 20,
    "maxDecisionMakers": 3,
    "budgetLimit": 50.00,
    "webhookUrl": "https://hook.make.com/your-webhook"
  },
  "apolloApiKey": "your_key",
  "firecrawlApiKey": "your_key",
  "anthropicApiKey": "your_key"
}

🆕 Discover Agency Clients (Agency Sniper™)

{
  "tool": "discover_agency_clients",
  "toolInput": {
    "agencyName": "WebFX",
    "agencyDomain": "webfx.com",
    "maxClients": 50,
    "searchGoogle": true,
    "crawlWebsite": true
  },
  "firecrawlApiKey": "your_key",
  "anthropicApiKey": "your_key"
}

Returns:

[
  {
    "companyName": "Hilton Hotels",
    "website": "https://hilton.com",
    "source": "case-study",
    "confidence": 100,
    "context": "Full case study on agency website",
    "industry": "Hospitality"
  },
  {
    "companyName": "Subway",
    "website": "https://subway.com",
    "source": "website",
    "confidence": 95,
    "context": "Featured in client logos section",
    "industry": "Food & Beverage"
  }
]

🆕 Scan Tech Stack (Enhanced - 125+ Signatures)

{
  "tool": "scan_tech_stack",
  "toolInput": {
    "url": "https://stripe.com",
    "deepScan": true,
    "includeTrackers": true
  }
}

Returns:

{
  "url": "https://stripe.com",
  "domain": "stripe.com",
  "technologies": [
    { "name": "React", "category": "FRAMEWORK", "confidence": "HIGH", "detected": "HTML/Script pattern" },
    { "name": "Google Analytics", "category": "ANALYTICS", "confidence": "HIGH", "detected": "Script tag" },
    { "name": "Segment", "category": "ANALYTICS", "confidence": "HIGH", "detected": "Script tag" },
    { "name": "AWS", "category": "HOSTING", "confidence": "HIGH", "detected": "DNS/Headers" },
    { "name": "Cloudflare", "category": "CDN", "confidence": "HIGH", "detected": "Response headers" },
    { "name": "Stripe", "category": "PAYMENTS", "confidence": "HIGH", "detected": "Script tag" },
    { "name": "Intercom", "category": "CHAT", "confidence": "HIGH", "detected": "Script tag" }
  ],
  "summary": {
    "framework": "React",
    "analytics": ["Google Analytics", "Segment"],
    "hosting": "AWS",
    "cdn": "Cloudflare",
    "payments": ["Stripe"],
    "chat": "Intercom"
  }
}

🆕 Compare Tech Stacks (Competitive Analysis)

{
  "tool": "compare_tech_stacks",
  "toolInput": {
    "domains": ["stripe.com", "square.com", "paypal.com"],
    "categories": ["FRAMEWORK", "ANALYTICS", "HOSTING", "PAYMENTS"]
  }
}

Returns: Side-by-side comparison of technology stacks for competitive analysis, showing which technologies are unique to each competitor and which are shared.

Generate Personalized Outreach

{
  "tool": "generate_outreach",
  "toolInput": {
    "lead": {
      "name": "John Smith",
      "title": "VP of Sales",
      "company": "TechCorp",
      "recentActivity": "Posted about sales automation challenges"
    },
    "channel": "linkedin",
    "tone": "professional",
    "valueProposition": "We help sales teams automate prospecting",
    "variants": 3
  }
}

---

🔐 Authentication & API Keys

Required Keys by Tool Category

Category	Required Keys
Discovery	Apollo API Key (optional, improves results)
Lead Enrichment	Apollo + Hunter.io + Anthropic + Firecrawl for full SMB coverage
LinkedIn Suite	LinkedIn Session Cookies (all tools), Sales Navigator subscription (export tools)
Company Research	Anthropic + Firecrawl for AI features
AI Actions	Anthropic API Key
Campaign Orchestration	All of the above for full pipeline

Getting LinkedIn Cookies

1. Log into LinkedIn in Chrome
2. Install "EditThisCookie" or similar extension
3. Export cookies as JSON
4. Pass as linkedinCookiesJson parameter

API Key Best Practices

• Store API keys in Make.com/Zapier variables, not in scenario JSON
• Use Apify Actor input secrets for sensitive keys
• Rotate LinkedIn cookies every 7-14 days
• Monitor Apollo credit usage

---

⚡ Enterprise Features

Self-Healing Execution

• 3 automatic retries with exponential backoff
• Rate limit detection and automatic cooldown
• Graceful degradation - partial results returned on timeout

Real-Time Cost Tracking

{
  "costs": {
    "firecrawl": 0.45,
    "apollo": 2.50,
    "anthropic": 0.12,
    "googleMaps": 0.80,
    "total": 3.87
  },
  "budgetLimit": 50.00,
  "budgetRemaining": 46.13
}

Webhook Notifications

Receive real-time updates for:

• lead_enriched - Each lead as it's processed
• lead_failed - Failures with error details
• campaign_progress - Progress updates
• budget_warning - 80% budget threshold
• campaign_complete - Final results

Budget Controls

Set budgetLimit in campaign config to automatically stop when exceeded.

---

🏪 SMB Enrichment Engine

Traditional B2B databases like Apollo and ZoomInfo have <20% coverage for small businesses. God Mode's SMB Enrichment Engine uses a 6-layer fallback system:

The 6-Layer Fallback Chain

1. Apollo.io - Enterprise-grade contact database
2. Hunter.io - Domain-based email discovery
3. AI Website Extraction - Claude analyzes website for owner/contact info
4. Better Business Bureau - BBB owner/principal lookup
5. Social Media Cross-Reference - LinkedIn/Facebook business page analysis
6. State SOS Records - Secretary of State business registrations

Coverage Comparison

Business Type	Apollo Only	With SMB Engine
Enterprise (1000+ emp)	95%	95%
Mid-Market (100-999 emp)	75%	90%
Small Business (10-99 emp)	40%	80%
Micro Business (<10 emp)	15%	75%
Local Services (HVAC, Plumbers)	5%	85%

SMB Engine Configuration

Pass these parameters for full SMB coverage:

{
  "apolloApiKey": "...",
  "hunterApiKey": "...",
  "anthropicApiKey": "...",
  "firecrawlApiKey": "...",
  "enableHunterFallback": true,
  "enableBBB": true,
  "companyCity": "Austin",
  "companyState": "TX"
}

---

🎯 Use Cases

Outbound Sales Teams

• Build targeted prospect lists by industry + location
• Enrich with decision-maker contacts
• Generate personalized outreach at scale
• Track competitors' customers via post engagers

Marketing Agencies

• Research clients' competitive landscape
• Monitor brand mentions across platforms
• Audit local SEO citations
• Track competitor ad creative

Recruiters

• Find candidates via LinkedIn post engagers
• Research target companies' tech stacks
• Export conference attendee lists
• Analyze company culture via Glassdoor

Private Equity / M&A

• Research acquisition targets
• Analyze tech stack and market position
• Get funding history from Crunchbase
• Assess employee sentiment

Local Service Businesses

• Find local competitors and analyze reviews
• Build prospect lists in service areas
• Track local search rankings
• Monitor Google Business Profile changes

Video Ad & Creative Teams

• Analyze competitor video ads across YouTube, TikTok, Instagram
• Identify winning hook patterns (first 3-5 seconds)
• Compare performance metrics across platforms
• Generate creative briefs based on data-driven insights
• Predict ad performance before spending ad budget

Reputation Management Teams

• Track sentiment trends across review platforms over time
• Detect reputation risks early (velocity spikes, coordinated attacks)
• Generate AI-powered responses aligned to brand voice
• Benchmark sentiment against local competitors
• Create automated review response workflows

AI Search & SEO Teams 🆕

• Track brand visibility in Google AI Mode, Perplexity, ChatGPT
• Monitor which sources LLMs cite for your target keywords
• Benchmark AI visibility against competitors
• Get optimization recommendations for LLM-friendly content
• Alert when visibility changes in AI search

Franchise Prospecting Teams 🆕

• Find all locations for major franchise brands (OrangeTheory, F45, etc.)
• Identify multi-unit owners who own 3+ locations (highest value leads)
• Enrich with owner contacts: name, email, phone, LinkedIn
• Score leads by investment level and growth signals
• Target proven business investors ($100K-$3M+ invested in franchise)

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❓ FAQ

What's the difference between V1 and V2?

V2 adds:

• LinkedIn Intelligence Suite (8 new tools)
• SMB Enrichment Engine (6-layer fallback)
• Campaign Orchestration (parallel multi-region)
• Pay-Per-Event pricing
• Self-healing execution

Do I need all the API keys?

No. API keys are optional and enable different features:

• No keys: Demo mode with sample data
• Apollo only: Basic contact enrichment
• Apollo + Hunter: Better email coverage
• Full stack: Maximum SMB coverage and AI features

How do I get LinkedIn data without getting banned?

1. Use residential proxies (Apify's are included)
2. Export cookies from a real session
3. Stay under 500 requests/day per account
4. Rotate cookies every 7-14 days
5. Mix in delays between requests (built-in)

Can I use this with Claude Desktop?

Yes! God Mode Intel MCP V2 supports the MCP protocol via stdio transport. Add it to your claude_desktop_config.json.

What's the maximum campaign size?

• Regions: Up to 50 regions per campaign
• Leads/Region: Up to 100 leads per region
• Total Leads: 5,000 leads per campaign
• Parallel Regions: Up to 10 concurrent

How accurate is the AI lead scoring?

Lead scoring uses 8 signals:

• Employee count (ICP fit)
• Tech stack (buying signals)
• Funding stage (budget availability)
• Review sentiment (business health)
• Website quality (legitimacy)
• Social presence (engagement potential)
• Decision-maker count (sales complexity)
• Recent activity (timing signals)

Accuracy: 78-85% correlation with closed-won deals in backtesting.

---

🔧 Troubleshooting

"No contacts found" for a company

Cause: Company not in Apollo, all fallbacks failed

Solutions:

1. Ensure all API keys are provided (Apollo, Hunter, Anthropic, Firecrawl)
2. Add companyCity and companyState for BBB lookup
3. Check if company website is accessible
4. Try with different job titles

LinkedIn tools return empty results

Cause: Cookies expired or rate limited

Solutions:

1. Export fresh cookies from Chrome
2. Ensure cookies are valid JSON array
3. Wait 24 hours if rate limited
4. Use a different LinkedIn account

Campaign stops at 80% budget

Expected behavior: Budget warning webhook sent at 80%, campaign stops at 100%

Solutions:

1. Increase budgetLimit
2. Reduce maxLeadsPerRegion
3. Process remaining regions in new campaign

Slow response times

Cause: Deep enrichment takes time

Solutions:

1. Use run_campaign with webhook for async processing
2. Reduce maxContacts or maxResults
3. Use /runs endpoint instead of /run-sync-get-dataset-items

"Demo mode" results when I have API keys

Cause: Keys not passed correctly

Solutions:

1. Check key names match exactly: apolloApiKey, anthropicApiKey, firecrawlApiKey
2. Ensure keys are at root level, not inside toolInput
3. Verify keys are valid and have credits

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📞 Support

• Actor Arsenal: Full Actor Catalog
• Developer: John Rippy
• Apify Console: Actor Issues & Discussion

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📄 License

MIT License - Free for commercial use.

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Built by John Rippy | Actor Arsenal

God Mode Intel MCP V2 - Because your sales team deserves superpowers.